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Verónica Vilaplana
Verónica Vilaplana Besler
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2020 – today
- 2024
- [j19]Cristian Pachón-García
, Carlos Hernández-Pérez
SurvLIMEpy: A Python package implementing SurvLIME. Expert Syst. Appl. 237(Part C): 121620 (2024) - [j18]Oscar Pina
Feature propagation as self-supervision signals on graphs. Knowl. Based Syst. 289: 111512 (2024) - [c40]Oscar Pina, Verónica Vilaplana:
Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers. CVPR Workshops 2024: 5066-5074 - [c39]Carlos Hernández-Pérez, Lauren Jimenez-Martin, Verónica Vilaplana:
Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images. CVPR Workshops 2024: 5132-5140 - [c38]Berta Calm Salvans, Irene Cumplido-Mayoral, Juan Domingo Gispert, Verónica Vilaplana:
Identifying Brain Ageing Trajectories Using Variational Autoencoders with Regression Model in Neuroimaging Data Stratified by Sex and Validated Against Dementia-Related Risk Factors. PRIME@MICCAI 2024: 149-160 - 2023
- [j17]Jordi Gené-Mola
Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Comput. Electron. Agric. 209: 107854 (2023) - [i16]Cristian Pachón-García
SurvLIMEpy: A Python package implementing SurvLIME. CoRR abs/2302.10571 (2023) - [i15]Oscar Pina, Verónica Vilaplana:
RGI : Regularized Graph Infomax for self-supervised learning on graphs. CoRR abs/2303.08644 (2023) - [i14]Oscar Pina, Verónica Vilaplana:
Layer-wise training for self-supervised learning on graphs. CoRR abs/2309.01503 (2023) - 2022
- [j16]Luis Salgueiro
SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images. Remote. Sens. 14(22): 5862 (2022) - [c37]Oscar Pina, Verónica Vilaplana:
Self-supervised graph representations of WSIs. GeoMedIA 2022: 107-117 - [c36]Carlos Hernández-Pérez
Contrastive and Attention-Based Multiple Instance Learning for the Prediction of Sentinel Lymph Node Status from Histopathologies of Primary Melanoma Tumours. CaPTion@MICCAI 2022: 57-66 - [c35]Oscar Pina, Irene Cumplido-Mayoral, Raffaele Cacciaglia, José María González-de-Echávarri, Juan Domingo Gispert, Verónica Vilaplana:
Structural Networks for Brain Age Prediction. MIDL 2022: 944-960 - 2021
- [j15]Saüc Abadal
A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 Imagery. Remote. Sens. 13(22): 4547 (2021) - [j14]Luis Salgueiro
Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with Residual Dense Convolutional Neural Networks. Remote. Sens. 13(24): 5007 (2021) - [i13]Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [j13]Jordi Gené-Mola
Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Comput. Electron. Agric. 169: 105165 (2020) - [j12]Adrià Casamitjana
NeAT: a Nonlinear Analysis Toolbox for Neuroimaging. Neuroinformatics 18(4): 517-530 (2020) - [j11]Luis Salgueiro Romero
Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks. Remote. Sens. 12(15): 2424 (2020) - [j10]Adrià Casamitjana
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease: A Predictive Study. IEEE J. Biomed. Health Informatics 24(2): 365-376 (2020) - [c34]Laura Mora Ballestar, Verónica Vilaplana
MRI Brain Tumor Segmentation and Uncertainty Estimation Using 3D-UNet Architectures. BrainLes@MICCAI (1) 2020: 376-390 - [c33]Marc Combalia
Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification. CVPR Workshops 2020: 3211-3220 - [c32]Eloi Moliner, Luis Salgueiro Romero, Verónica Vilaplana:
Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging. ICASSP 2020: 2273-2277 - [i12]Laura Mora Ballestar, Verónica Vilaplana:
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation. CoRR abs/2009.12188 (2020) - [i11]Laura Mora Ballestar, Verónica Vilaplana:
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures. CoRR abs/2012.15294 (2020)
2010 – 2019
- 2019
- [j9]Marcel Sala
Measuring traffic lane-changing by converting video into space-time still images. Comput. Aided Civ. Infrastructure Eng. 34(6): 488-505 (2019) - [j8]Jordi Gené-Mola
Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities. Comput. Electron. Agric. 162: 689-698 (2019) - [j7]Carles Ventura, David Varas, Verónica Vilaplana
Multiresolution co-clustering for uncalibrated multiview segmentation. Signal Process. Image Commun. 76: 151-166 (2019) - [j6]Li Wang
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38(9): 2219-2230 (2019) - [j5]Hugo J. Kuijf
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c31]Ignasi Mas, Ramon Morros, Verónica Vilaplana
Picking Groups Instead of Samples: A Close Look at Static Pool-Based Meta-Active Learning. ICCV Workshops 2019: 1354-1362 - [c30]Luis Salgueiro Romero, Javier Marcello
Comparative study of upsampling methods for super-resolution in remote sensing. ICMV 2019: 114331J - [c29]Marc Combalia
Digitally Stained Confocal Microscopy through Deep Learning. MIDL 2019: 121-129 - [i10]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - [i9]Marc Combalia
BCN20000: Dermoscopic Lesions in the Wild. CoRR abs/1908.02288 (2019) - [i8]Ignasi Mas, Josep Ramon Morros, Verónica Vilaplana:
Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning. CoRR abs/1911.00314 (2019) - 2018
- [c28]Marc Górriz, Albert Aparicio, Berta Raventós, Verónica Vilaplana, Elisa Sayrol, Daniel López Codina
Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. AMDO 2018: 53-62 - [c27]Zineng Xu, Verónica Vilaplana, Josep Ramon Morros:
Action Tube Extraction Based 3D-CNN for RGB-D Action Recognition. CBMI 2018: 1-6 - [c26]Adrià Casamitjana, Verónica Vilaplana
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease. PRIME@MICCAI 2018: 60-67 - [c25]Marc Combalia
Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. DLMIA/ML-CDS@MICCAI 2018: 274-281 - [i7]Irina Sánchez, Verónica Vilaplana:
Brain MRI super-resolution using 3D generative adversarial networks. CoRR abs/1812.11440 (2018) - [i6]Marc Combalia, Verónica Vilaplana:
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. CoRR abs/1812.11560 (2018) - [i5]Marc Górriz, Albert Aparicio, Berta Raventós, Verónica Vilaplana, Elisa Sayrol, Daniel López Codina:
Leishmaniasis Parasite Segmentation and Classification using Deep Learning. CoRR abs/1812.11586 (2018) - [i4]Adrià Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana:
Cascaded V-Net using ROI masks for brain tumor segmentation. CoRR abs/1812.11588 (2018) - 2017
- [c24]Adria Casamitjana
Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. BrainLes@MICCAI 2017: 381-391 - 2016
- [c23]Adria Casamitjana
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures. BrainLes@MICCAI 2016: 150-161 - [i3]Santi Puch, Asier Aduriz, Adria Casamitjana, Verónica Vilaplana, Paula M. Petrone, Grégory Operto, Raffaele Cacciaglia, Stavros Skouras
Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. CoRR abs/1612.00667 (2016) - 2015
- [j4]Verónica Vilaplana
Saliency maps on image hierarchies. Signal Process. Image Commun. 38: 84-99 (2015) - [c22]Carles Ventura, Xavier Giró-i-Nieto
Improving spatial codification in semantic segmentation. ICIP 2015: 3605-3609 - [c21]Miquel India, David Varas, Verónica Vilaplana, Josep Ramon Morros, Javier Hernando:
UPC System for the 2015 MediaEval Multimodal Person Discovery in Broadcast TV task. MediaEval 2015 - [c20]Eugenio Tacchini, Ramon Morros, Verónica Vilaplana, Enrique Sañoso:
Do You Have a Pop Face? Here is a Pop Song. Using Profile Pictures to Mitigate the Cold-start Problem in Music Recommender Systems. RecSys Posters 2015 - [i2]Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor:
Improving Spatial Codification in Semantic Segmentation. CoRR abs/1505.07409 (2015) - [i1]Verónica Vilaplana:
Saliency maps on image hierarchies. CoRR abs/1508.04586 (2015) - 2014
- [j3]Carles Ventura, Verónica Vilaplana
Improving retrieval accuracy of Hierarchical Cellular Trees for generic metric spaces. Multim. Tools Appl. 73(3): 1983-2008 (2014) - 2013
- [c19]Carles Ventura, Xavier Giró-i-Nieto
Automatic keyframe selection based on mutual reinforcement algorithm. CBMI 2013: 29-34 - [c18]Verónica Vilaplana
Salient object detection on a hierarchy of image partitions. ICIP 2013: 3317-3320 - 2012
- [c17]Carles Ventura, Manel Martos, Xavier Giró-i-Nieto
Hierarchical Navigation and Visual Search for Video Keyframe Retrieval. MMM 2012: 652-654 - 2010
- [b1]Verónica Vilaplana:
Region-based face detection, segmentation and tracking. framework definition and application to other objects. Polytechnic University of Catalonia, Spain, 2010 - [c16]Verónica Vilaplana
Object detection and segmentation on a hierarchical region-based image representation. ICIP 2010: 3933-3936 - [c15]Miriam Leon, Verónica Vilaplana, Antoni Gasull, Ferran Marqués:
Region-based caption text extraction. WIAMIS 2010: 1-4
2000 – 2009
- 2009
- [c14]Miriam Leon, Verónica Vilaplana
Caption text extraction for indexing purposes using a hierarchical region-based image model. ICIP 2009: 1869-1872 - [c13]Verónica Vilaplana
Face tracking using a region-based mean-shift algorithm with adaptive object and background models. WIAMIS 2009: 9-12 - 2008
- [j2]Verónica Vilaplana
Binary Partition Trees for Object Detection. IEEE Trans. Image Process. 17(11): 2201-2216 (2008) - [c12]Verónica Vilaplana
Region-based mean shift tracking: Application to face tracking. ICIP 2008: 2712-2715 - 2007
- [c11]Verónica Vilaplana
Region-Based Hierarchical Representation for Object Detection. CBMI 2007: 157-164 - [c10]Verónica Vilaplana, Ferran Marqués:
Face detection and segmentation on a hierarchical image representation. EUSIPCO 2007: 1955-1959 - [c9]Verónica Vilaplana
On Building a Hierarchical Region-Based Representation for Generic Image Analysis. ICIP (4) 2007: 325-328 - 2006
- [c8]Jordi Luque
Audio, Video and Multimodal Person Identification in a Smart Room. CLEAR 2006: 258-269 - [c7]Verónica Vilaplana
Face Recognition using Groups of Images in Smart Room Scenarios. ICIP 2006: 2069-2072 - 2005
- [c6]Verónica Vilaplana, Ferran Marqués:
Support Vector Data Description based on PCA features for face detection. EUSIPCO 2005: 1-4 - [p1]Xavier Giró
Automatic Extraction and Analysis of Visual Objects Information. Multimedia Content and the Semantic Web 2005: 203-221 - 2004
- [c5]Oreste Salerno, Montse Pardàs, Verónica Vilaplana
Object recognition based on binary partition trees. ICIP 2004: 929-932 - 2002
- [j1]Ferran Marqués, Verónica Vilaplana
Face segmentation and tracking based on connected operators and partition projection. Pattern Recognit. 35(3): 601-614 (2002) - 2000
- [c4]Ferran Marqués, Verónica Vilaplana:
A Morphological Approach for Segmentation and Tracking of Human Face. ICPR 2000: 5064-5067
1990 – 1999
- 1999
- [c3]Luis Torres, Ferran Marqués, Luis Lorente, Verónica Vilaplana
Face Location and Recognition for Video Indexing in the Hypermedia Project. ECMAST 1999: 364-377 - [c2]Ferran Marqués, Verónica Vilaplana, Anabel Buxes:
Human Face Segmentation and Tracking Using Connected Operators and Partition Projection. ICIP (3) 1999: 617-621 - 1998
- [c1]Verónica Vilaplana, Ferrari Marqués, Philippe Salembier, Luis Garrirlo:
Region-based segmentation and tracking of human faces. EUSIPCO 1998: 1-4
Coauthor Index
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last updated on 2024-11-04 21:40 CET by the dblp team
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